Data Scientist
Dearborn, MI · Remote
Strong proficiency in Python for data analysis and modeling (e.g., pandas, NumPy, Pyomo or similar ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...
Dearborn, MI · Remote
Strong proficiency in Python for data analysis and modeling (e.g., pandas, NumPy, Pyomo or similar ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...
Dearborn, MI · Remote
Strong proficiency in Python for data analysis and modeling (e.g., pandas, NumPy, Pyomo or similar ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...
We operate as a distributed, remote-first team, ensuring everyone has equal access to information ... Experience with pandas, numpy and other Python-based data analysis libraries and tooling
We operate as a distributed, remote-first team, ensuring everyone has equal access to information ... Experience with pandas, numpy and other Python-based data analysis libraries and tooling
We operate as a distributed, remote-first team, ensuring everyone has equal access to information ... Experience with pandas, numpy and other Python-based data analysis libraries and tooling
We operate as a distributed, remote-first team, ensuring everyone has equal access to information ... Experience with pandas, numpy and other Python-based data analysis libraries and tooling
Lansing, MI · On-site +1
Advanced Python programming skills supporting data science, including scikit-learn and pandas. * Proficient data wrangling and ETL abilities using SQL on relational databases. * Comfortable ...
Lansing, MI · On-site +1
Advanced Python programming skills supporting data science, including scikit-learn and pandas. * Proficient data wrangling and ETL abilities using SQL on relational databases. * Comfortable ...
Advanced Python programming skills supporting data science, including scikit-learn and pandas. * Proficient data wrangling and ETL abilities using SQL on relational databases. * Comfortable ...
Advanced Python programming skills supporting data science, including scikit-learn and pandas. * Proficient data wrangling and ETL abilities using SQL on relational databases. * Comfortable ...
Lansing, MI · On-site +1
Advanced Python programming skills supporting data science, including scikit-learn and pandas. * Proficient data wrangling and ETL abilities using SQL on relational databases. * Comfortable ...
Lansing, MI · On-site +1
Advanced Python programming skills supporting data science, including scikit-learn and pandas. * Proficient data wrangling and ETL abilities using SQL on relational databases. * Comfortable ...
Advanced Python programming skills supporting data science, including scikit-learn and pandas. * Proficient data wrangling and ETL abilities using SQL on relational databases. * Comfortable ...
Advanced Python programming skills supporting data science, including scikit-learn and pandas. * Proficient data wrangling and ETL abilities using SQL on relational databases. * Comfortable ...
Strong Python-based data science experience, including pandas, NumPy, scikit-learn, and production ... Remote Compensation * Expected salary range: $140,000-$150,000, commensurate with experience
Strong Python-based data science experience, including pandas, NumPy, scikit-learn, and production ... Remote Compensation * Expected salary range: $140,000-$150,000, commensurate with experience
Ann Arbor, MI · On-site +1
$140K - $150K/yr
Strong Python-based data science experience, including pandas, NumPy, scikit-learn, and production ... Remote Compensation * Expected salary range: $140,000-$150,000, commensurate with experience
Ann Arbor, MI · On-site +1
$140K - $150K/yr
Strong Python-based data science experience, including pandas, NumPy, scikit-learn, and production ... Remote Compensation * Expected salary range: $140,000-$150,000, commensurate with experience
Ann Arbor, MI · On-site +1
$100K - $132K/yr
... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask ...
Ann Arbor, MI · On-site +1
$100K - $132K/yr
... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask ...
| Aspect | Python Pandas Remote | Data Analyst |
|---|---|---|
| Required Skills | Python, Pandas, SQL, data manipulation | Excel, SQL, data visualization, basic programming |
| Work Environment | Remote, tech-focused companies | Office or remote, various industries |
| Certifications | Python certifications, data analysis courses | Data analysis, Excel, Tableau certifications |
| Industry Usage | Tech, finance, e-commerce | Finance, marketing, healthcare |
Python Pandas Remote roles focus on data manipulation using Python and Pandas, often in tech-driven environments. Data Analysts may use a broader set of tools like Excel and visualization software, working across various industries. While both roles involve data handling, Python Pandas Remote positions emphasize programming skills, whereas Data Analysts focus on interpreting data for business insights.
Full-time
Medical, Dental, Vision, Life, PTO
Posted 18 days ago
The Senior Data Scientist will design and implement advanced systems that support cross-domain manufacturing analytics. This role operates at the intersection of optimization, enterprise data integration, and applied analytics to enable data-driven decision-making across complex business workflows.
Key responsibilities include:
Developing and maintaining Python-based optimization models to support demand elasticity, production planning, and constraint-based decision frameworks.
Integrating heterogeneous enterprise datasets into structured, analysis-ready pipelines using BigQuery, GCS, and Python.
Performing data reconciliation, fuzzy matching, and standardization across inconsistent source systems to ensure data quality and analytical integrity.
Designing and deploying lightweight internal applications (e.g., Dash-based tools) and contributing to containerized deployments to enable business-facing access to decision models.
Collaborating with cross-functional stakeholders to translate business questions into optimization and analytical frameworks.
In addition, this role will contribute to the development of semantically aligned data structures by supporting feature definition consistency, cross-system mapping, and ontology-informed modeling approaches. The candidate will help ensure that analytical outputs are built on clearly defined entities, relationships, and assumptions to enable scalable reasoning and reuse across domains.
The ideal candidate combines strong technical modeling capability with practical enterprise data engineering experience and the ability to operate effectively in ambiguous, cross-functional environments.
Bachelor's degree in Data Science, Engineering, Mathematics, Computer Science, Operations Research, or equivalent field.
3+ years of experience developing analytical or optimization models in Python.
Experience building and maintaining data pipelines using SQL and cloud-based data platforms (e.g., BigQuery, GCS).
Strong proficiency in Python for data analysis and modeling (e.g., pandas, NumPy, Pyomo or similar optimization libraries).
Experience integrating and standardizing heterogeneous enterprise datasets.
Familiarity with containerization concepts (e.g., Docker) and deploying lightweight applications or services in a cloud environment.
Ability to translate business problems into structured analytical frameworks.
Strong written and verbal communication skills with experience working cross-functionally.
Design, develop, and maintain Python-based optimization models to support demand elasticity, production planning, and constraint-based decision systems.
Translate complex business problems into structured analytical and optimization frameworks.
Build and maintain data pipelines using BigQuery, GCS, and Python to integrate heterogeneous enterprise data sources.
Perform data reconciliation, fuzzy matching, and standardization across inconsistent datasets to ensure analytical integrity.
Develop lightweight internal applications (e.g., Dash or streamlit) to operationalize analytical outputs for business users.
Contribute to containerized deployments to support scalable and maintainable delivery of decision tools.
Partner with cross-functional stakeholders to define requirements and validate outputs.
Support semantic alignment across systems by contributing to feature definition consistency, cross-system mapping, and ontology-informed data structures.
Document modeling assumptions, data transformations, and system dependencies to enable reproducibility and reuse.
Continuously improve model performance, data quality, and deployment efficiency across decision systems.
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At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.
Civil engineering construction
51 - 200 Employees
Doral, FL, US
1982